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Model: malikali/CEFR-Aligned-LM Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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base_model:
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- meta-llama/Llama-2-7b-hf
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pipeline_tag: text-generation
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tags:
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- cefr
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- controllable_generation
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- langauge
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---
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# CEFF-Aligned Language Model (CaLM)
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This is a model card for the CEFF-Aligned Language Model (CaLM) from the paper: From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation
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- **Paper**: https://aclanthology.org/2024.findings-acl.926
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- **Arxiv**: https://arxiv.org/abs/2406.03030
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- **Github**: https://github.com/malik-ali/tarzan2tolkien
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## Prompt Template
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The model text template looks like
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```
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<<Summary>>: {summary}
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<<CEFR>>: {cefr}
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<<Story>>:
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{story}
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<</Story>>
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```
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where you replace `{summary}` with the summary of the desired story to generate and `{cefr}` with the desired CEFR level is one of `["A1", "A2", "B1", "B2", "C1", "C2"]`.
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To generate, you can add the summary and target CEFR level and just start generating after the `<<Story>>:\n `. See the Github repo for examples.
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